Denser Retriever
Cutting-Edge AI Retriever for RAG
Listed in categories:
Developer ToolsArtificial IntelligenceSaaS
Description
Denser Retriever is an enterprise-grade AI retriever designed to streamline AI integration into applications, ensuring cutting-edge accuracy. It combines multiple search technologies into a single platform, utilizing gradient boosting (xgboost) machine learning technique to enhance keyword-based searches, vector databases, and machine learning rerankers.
How to use Denser Retriever?
To install Denser Retriever, it is recommended to use poetry. First, install poetry with 'pip install poetry'. Then, add Denser Retriever with 'poetry add git+http://github.com/denserorg/denser-retriever.git/main'. For more details, refer to the official documentation hosted on retriever.denser.ai.
Core features of Denser Retriever:
1️⃣
Supporting heterogeneous retrievers such as keyword search, vector search, and ML model reranking
2️⃣
Leveraging xgboost ML technique to effectively combine heterogeneous retrievers
3️⃣
State-of-the-art accuracy on MTEB Retrieval benchmarking
Why could be used Denser Retriever?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Powering end-to-end applications such as chatbot and semantic search | ✅ | |
Who developed Denser Retriever?
Denser Retriever is developed by denser.org.